The International Journal of High Performance Computing Applications
The International Journal of High Performance Computing Applications provides a lively forum for the communications of original peer-reviewed research papers and timely review articles on the use of supercomputers to solve complex modeling problems in a spectrum of disciplines.
The goal of the journal is to capture the state of the art in simulation and modeling of complex phenomena across a spectrum of disciplines and the technologies that support those activities through original research papers and timely review articles. The journal emphasizes experiences with the use of large-scale, high performance computers and software techniques that apply to classes of problems, often across disciplines. Articles should focus such experiences and techniques, as well as methods for analyzing and applying algorithms and solution schemes related to particular application areas. Articles that document the complexity of maximizing performance for real world applications are of particular interest.
In addition to traditional modeling and simulation topics, the journal welcomes contributions involving artificial intelligence and machine learning, as well as emerging quantum-computing approaches, when they advance or innovate in high-performance computing for scientific simulation. Manuscripts that simply apply AI/ML techniques or use supercomputers to obtain specific scientific results, without contributing new insight into HPC methods, architectures, or scalable algorithmic design, are outside the scope of the journal.
This journal is a member of the Committee on Publication Ethics (COPE).
Submit your manuscript today at https://mc.manuscriptcentral.com/ijhpca.
The International Journal of High Performance Computing Applications provides a lively forum for the communications of original peer-reviewed research papers and timely review articles on the use of supercomputers to solve complex modeling problems in a spectrum of disciplines.
The goal of the journal is to capture the state of the art in simulation and modeling of complex phenomena across a spectrum of disciplines and the technologies that support those activities through original research papers and timely review articles. The journal emphasizes experiences with the use of large-scale, high performance computers and software techniques that apply to classes of problems, often across disciplines. Articles should focus such experiences and techniques, as well as methods for analyzing and applying algorithms and solution schemes related to particular application areas. Articles that document the complexity of maximizing performance for real world applications are of particular interest.
The scope of the journal is reflected by the specialties of the board of contributing editors. Illustrative applications include:
- Aerodynamics and aerospace engineering;
- Astrophysics and geophysics;
- Atmospheric research and meteorological forecasting;
- Automotive design and production;
- Climate modeling;
- Computer graphics and imaging;
- Molecular biology and molecular dynamics;
- Nuclear physics;
- Petroleum reservoir engineering and hydrology;
- Pharmaceutical structural analysis and computer-aided design;
- Physical oceanography;
- Plasma physics;
- Quantum chemistry and first principles molecular dynamics;
- Solid state physics, and structural dynamics.
General-purpose computational technologies of interest include: the interaction of architecture with algorithms; performance modeling; parallel programming models and languages; parallel tools and their application to large-scale simulation; scaling analyses; and scientific software engineering.
| Bronis R. De Supinski | Lawrence Livermore National Laboratory, USA |
| Anshu Dubey | Argonne National Laboratory, USA |
| David Abramson | The University of Queensland, Australia |
| Ann Almgren | Lawrence Berkeley National Laboratory, USA |
| Rosa Badia | Barcelona Supercomputing Center, Spain |
| Kristin Beck | Lawrence Livermore National Laboratory, USA |
| Massimo Bernaschi | National Research Council of Italy, Italy |
| Charbel Farhat | Stanford University, USA |
| Nicola Ferrier | Argonne National Laboratory, USA |
| Bryan Flynt | University Corporation for Atmospheric Research (UCAR), USA |
| Ana Gainaru | Vanderbilt University, USA |
| Sandra Gesing | San Diego Supercomputer Center, USA |
| Salman Habib | Argonne National Laboratory, USA |
| Torsten Hoefler | ETH Zürich, Switzerland |
| Lennart Johnsson | University of Houston, USA |
| Alice E. Koniges | University of Hawaii, USA |
| Xiaoye Sherry Li | Lawrence Berkeley National Laboratory, USA |
| Zarija Lukic | Berkeley Laboratory Scientific, USA |
| Todd Munson | Argonne National Laboratory, USA |
| Dimitrios S. Nikolopoulos | Virginia Tech Computer Science Department, USA |
| Ivy Peng | KTH Royal Institute of Technology Stockholm, Sweden |
| Amanda Randles | Duke University, USA |
| Yves Robert | Ecole Normale Supérieure de Lyon, France |
| Martin Schreiber | Universite Grenoble Alpes, France |
| Frederick Streitz | Lawrence Livermore National Laboratory, USA |
| Professor Daisuke Takahashi | University of Tsukuba, Japan |
| John Taylor | ANU College of Engineering and Computer Science, Australia |
| Miwako Tsuji | Riken, Japan |
| David W Walker | Cardiff University, UK |
| Layne T Watson | Virginia Polytechnic Institute and State University, USA |
| Dr. Michele Weiland | EPCC - University of Edinburgh, UK |
| Tobias Weinzierl | Durham University, UK |
| Rio Yokota | Institute of Science, Tokyo |
| Sung-Eui Yoon | KAIST, South Korea |
| William Gropp | University of Illinois at Urbana-Champaign, USA |
| A J G Hey | Microsoft Corporation, USA |
| David K Kahaner | Asian Technology Information Program, Japan |
| David E Keyes | King Abdullah University of Science & Technology, Saudi Arabia |
| Joanne Martin | IBM, USA (retired) |
| Yoshio Oyanagi | Kobe University, Japan |
| Robert S Schreiber | Cerebras Systems, USA |
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